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- aggregation classification "A1".
- aggregation creator person.
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- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1849317.bibtex.
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- aggregation isPartOf urn:issn:0213-3911.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Veterinary Sciences".
- aggregation title "Quantitative mRNA expression analysis in kidney glomeruli using microdissection techniques".
- aggregation abstract "The introduction of new tools for molecular analysis, such as RT-qPCR and microarrays, has provided researchers with powerful applications to study renal disease and development. However, the high cellular heterogeneity of the renal tissue complicates the molecular analysis of specific cells and cell groups such as glomerular or tubular cells. In the past, glomerular sieving and manual dissection were used for the isolation of glomeruli. However, these techniques cannot be used for the isolation of specific glomeruli or for the coisolation of additional tissue fractions. In recent decades, new microdissection techniques such as laser-assisted microdissection have been developed. These applications allow the isolation of small cell groups from heterogeneous tissue for molecular analysis, including microarray and RT-qPCR. Although very promising, some drawbacks are associated with these techniques. The isolated sample material is generally small and requires sensitive assays. In addition, the long sample processing time may result in a considerable loss of RNA integrity. Careful optimization and rigorous quality analysis should overcome these drawbacks. In the present paper, the recent literature on the application of microdissection techniques in kidney research is reviewed, together with a discussion of the critical issues that are essential for the application of quantitative mRNA expression analysis with RT-qPCR on microdissected samples.".
- aggregation authorList BK739782.
- aggregation endPage "275".
- aggregation issue "2".
- aggregation startPage "267".
- aggregation volume "26".
- aggregation aggregates 1849407.
- aggregation isDescribedBy 1849317.
- aggregation similarTo LU-1849317.